System and method for aircraft failure prediction
First Claim
1. An aircraft component failure prediction apparatus comprising:
- a database coupled to at least one aircraft system, the database being configured to receive from the at least one aircraft system and storeat least one multidimensional operation data matrix corresponding to operation of an aircraft component obtained from a plurality of aircraft, andat least one multidimensional maintenance message matrix corresponding to the operation of the aircraft component from the plurality of aircraft; and
an aircraft maintenance controller coupled to the database, the aircraft maintenance controller being configured toclassify operational data, in a first classification, of the at least one multidimensional operation data matrix as corresponding with at least one maintenance message to form at least one classified multidimensional operation data matrix including classified data;
classify the classified data of the at least one classified multidimensional operation data matrix with a machine learning model, in a second classification, to predict an occurrence of a future maintenance message for the aircraft component within a predetermined analysis time period, where the aircraft maintenance controller preprocesses the at least one classified multidimensional operation data matrix to remove classification obscuring data from the at least one classified multidimensional operation data matrix, andgenerate an output of at least one partial dependency function on a user interface coupled to the aircraft maintenance controller, the output of the at least one partial dependency function being generated from the at least one classified multidimensional operation data matrix where the output of the at least one partial dependency function explains prediction of the occurrence of the future maintenance message by identifying at least which of the operational data is most frequently identified by the at least one maintenance message and operational ranges of the operational data most frequently identified by the at least one maintenance message.
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Accused Products
Abstract
An aircraft component failure prediction apparatus including a database and an aircraft maintenance controller coupled to the database. The controller classifies operational data, in a first classification, as corresponding with at least one maintenance message to form at least one classified multidimensional operation data matrix including classified data. The controller classifies the classified data of the at least one classified multidimensional data matrix, in a second classification, to predict an occurrence of a future maintenance message for the aircraft component. The controller preprocesses the at least one classified multidimensional operation data matrix, and generates an output of at least one partial dependency function that explains prediction of the occurrence of the future maintenance message.
3 Citations
20 Claims
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1. An aircraft component failure prediction apparatus comprising:
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a database coupled to at least one aircraft system, the database being configured to receive from the at least one aircraft system and store at least one multidimensional operation data matrix corresponding to operation of an aircraft component obtained from a plurality of aircraft, and at least one multidimensional maintenance message matrix corresponding to the operation of the aircraft component from the plurality of aircraft; and an aircraft maintenance controller coupled to the database, the aircraft maintenance controller being configured to classify operational data, in a first classification, of the at least one multidimensional operation data matrix as corresponding with at least one maintenance message to form at least one classified multidimensional operation data matrix including classified data; classify the classified data of the at least one classified multidimensional operation data matrix with a machine learning model, in a second classification, to predict an occurrence of a future maintenance message for the aircraft component within a predetermined analysis time period, where the aircraft maintenance controller preprocesses the at least one classified multidimensional operation data matrix to remove classification obscuring data from the at least one classified multidimensional operation data matrix, and generate an output of at least one partial dependency function on a user interface coupled to the aircraft maintenance controller, the output of the at least one partial dependency function being generated from the at least one classified multidimensional operation data matrix where the output of the at least one partial dependency function explains prediction of the occurrence of the future maintenance message by identifying at least which of the operational data is most frequently identified by the at least one maintenance message and operational ranges of the operational data most frequently identified by the at least one maintenance message. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for predicting aircraft component failure, the method comprising:
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receiving and storing, in a database coupled to at least one aircraft system, at least one multidimensional operation data matrix corresponding to operation of an aircraft component obtained from a plurality of aircraft, and at least one multidimensional maintenance message matrix corresponding to the operation of the aircraft component from the plurality of aircraft; and with an aircraft maintenance controller coupled to the database classifying operational data, in a first classification, of the at least one multidimensional operation data matrix as corresponding with at least one maintenance message to form at least one classified multidimensional operation data matrix including classified data; classifying the classified data of the at least one classified multidimensional operation data matrix with a machine learning model, in a second classification, to predict an occurrence of a future maintenance message for the aircraft component within a predetermined analysis time period, where the at least one classified multidimensional operation data matrix is preprocessed to remove classification obscuring data from the at least one multidimensional operation data matrix, and generating on a user interface coupled to the aircraft maintenance controller, a visualization that explains prediction of the occurrence of the future maintenance message by identifying at least which of the operational data is most frequently identified by the at least one maintenance message and operational ranges of the operational data most frequently identified by the at least one maintenance message. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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18. A method for predicting aircraft component failure, the method comprising:
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receiving and storing, in a database coupled to at least one aircraft system, at least one multidimensional operation data matrix corresponding to operation of an aircraft component obtained from a plurality of aircraft, and at least one multidimensional maintenance message matrix corresponding to the operation of the aircraft component from the plurality of aircraft; and with an aircraft maintenance controller coupled to the database classifying operational data, in a first classification, of the at least one multidimensional operation data matrix as corresponding with at least one maintenance message to form at least one classified multidimensional operation data matrix including classified data; classifying the classified data of the at least one classified multidimensional operation data matrix with a machine learning model, in a second classification, to predict an occurrence of a future maintenance message for the aircraft component within a predetermined analysis time period; removing classified data from the at least one classified multidimensional operation data matrix so that the classified data remaining in the at least one classified multidimensional operation data matrix corresponds to a predetermined one of the aircraft and a predetermined one of the maintenance message for which the occurrence of the future maintenance message of the aircraft component is to be made, and generating an output of at least one partial dependency function on a user interface coupled to the aircraft maintenance controller, the output of the at least one partial dependency function being generated from the at least one classified multidimensional operation data matrix where the output of the at least one partial dependency function explains prediction of the occurrence of the future maintenance message by identifying at least which of the operational data is most frequently identified by the at least one maintenance message and operational ranges of the operational data most frequently identified by the at least one maintenance message. - View Dependent Claims (19, 20)
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Specification